Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing
Summary
Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing is a scholarly article[1].
Key Facts
Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-measurement-and-causal-inferences-in-machine-learning-opportunities-and-challenges-for-marketing
MLA“Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-measurement-and-causal-inferences-in-machine-learning-opportunities-and-challenges-for-marketing.
BibTeX@misc{4ortxyz_data-measurement-and-causal-inferences-in-machine-learning-opportunities-and-challenges-for-marketing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing}}, year = {2026}, url = {https://4ort.xyz/entity/data-measurement-and-causal-inferences-in-machine-learning-opportunities-and-challenges-for-marketing}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing — https://4ort.xyz/entity/data-measurement-and-causal-inferences-in-machine-learning-opportunities-and-challenges-for-marketing (retrieved 2026-05-24)